一维最小误差阈值法假设了目标和背景的灰度分布服从混合正态分布。

One-dimensional minimum error thresholding method assumed that the histogram distributions of object and background are governed by a mixture Gaussian distribution.

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该算法利用预测误差阈值进行样本的取舍，在尽量保留有用信息的情况下减小样本训练规模。

This algorithm USES the prediction error threshold to retain the useful information to decrease sample training scale.

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采用全局阈值中的最小误差方法对图像进行二值化，以区别开背景和目标。

Using minimum error method. Which belongs the global threshold, to attain binary image, so that background and object are distinguished.

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